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• Co-designing MESA-Bot: Enhancing Accessibility, Privacy, Security, and Trust in a Mental Health Chatbot for Older Adults

  Aishwarya Umeshkumar Surani, Sanchari Das · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Surani and Das address the gap between accessibility design and privacy-and-security engineering in mental health chatbots for older adults, a population nearly a billion strong worldwide for whom cost, stigma, wait times, and digital-literacy barriers limit access to…

  older adults · mental health · chatbot · co-design · privacy

• How Multimodal Large Language Models Support Access to Visual Information: A Diary Study With Blind and Low Vision People

  Ricardo E. Gonzalez Penuela, Crescentia Jung, Sharon Lin, Ruiying Hu, Shiri Azenkot · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper reports a two-week diary study with 20 Blind and Low Vision (BLV) participants (ages 19–75, 11 female/9 male, 13 blind/7 low vision) investigating how multimodal large language models (MLLMs) support real-world access to visual information. The authors built…

  AI · accessibility · multimodal large language models · MLLM · visual question answering

• "I Don't Trust it, but I Use it": Navigating Trust, Privacy, and Identity in Disabled People's Use of Generative AI

  Jazette Johnson, Aaleyah Lewis, Jennifer Mankoff, Olivia Banner · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper reports a qualitative focus-group study of how disabled people navigate generative AI (GenAI) tools in everyday life, with particular attention to how trust, privacy, and intersecting identities (race, gender, language, sexuality, disability) shape their use.…

  generative AI · accessibility · trust · mistrust · privacy

• Investigating the Role of Agentic AI in Facilitating Travel Planning for People with Low Vision

  Ranran Ding, Maryam Bandukda · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  This CHI 2026 Extended Abstract examines a stage of accessible travel that most assistive-technology research has overlooked: the pre-trip planning work people with low vision (PLV) do before ever leaving the house. The authors argue that most existing tools — navigation apps,…

  low vision · wayfinding · agentic AI · large language models · conversational agents

• Trying to Piece It Together: Exploring Accessible Error Detection in Emerging Privacy Techniques With Blind People

  Rahaf Alharbi, Angela D Cheong, Jaylin Herskovitz, Robin N. Brewer, Sarita Schoenebeck · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper investigates how blind people might detect errors in AI-enabled privacy techniques (obfuscation) used within visual assistance technologies (VAT). Blind people routinely use VAT apps like Seeing AI, Be My Eyes, Aira, and TapTapSee to access visual information, but…

  visual assistance technologies · privacy · obfuscation · AI error detection · assessment descriptors

• Understanding How Blind Users Handle Object Recognition Errors: Strategies and Challenges

  Jonggi Hong, Hernisa Kacorri · 2024 · ASSETS '24: Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper investigates how blind and low-vision users interact with object recognition systems, specifically focusing on how they identify and handle recognition errors. While object recognition technologies powered by computer vision and machine learning have enormous…

  blind users · object recognition · AI errors · computer vision · camera-based assistive technology

• Toward Effective Communication of AI-Based Decisions in Assistive Tools: Conveying Confidence and Doubt to People with Visual Impairments at Accelerated Speech

  Taslima Akter, Manohar Swaminathan, Apu Kapadia · 2024 · Proceedings of the 21st International Web for All Conference (W4A)

  This paper investigates how people with visual impairments (PVIs) perceive confidence and doubt in speakers' voices when audio is played at accelerated speeds — a critical question because AI-based assistive tools (scene descriptors, facial recognition, image captioners) can…

  visual impairments · artificial intelligence · speech processing · screen readers · assistive technology

• GuideCall: Affordable and Trustworthy Video Call-Based Remote Assistance for People with Visual Impairments

  Naveen M. Ravindran, Seyed Ali Cheraghi, Vinod Namboodiri, Rakesh Babu · 2019 · Proceedings of the 16th International Web for All Conference (W4A)

  This demonstration paper presents GuideCall, a free Android application that enables blind or visually impaired (BVI) individuals to get remote visual assistance through video calls with trusted personal contacts. The system addresses two key limitations of existing remote…

  visual impairment · blindness · remote assistance · video calling · assistive technology

• Designing an Adaptive Web Navigation Interface for Users with Variable Pointing Performance

  Aqueasha Martin-Hammond, Foad Hamidi, Tejas Bhalerao, Christian Ortega, Abdullah Ali, Catherine Hornback, Casey Means, Amy Hurst · 2018 · Proceedings of the 15th International Web for All Conference (W4A)

  This paper investigates how to design adaptive web navigation interfaces for people who experience variable pointing ability — difficulty using a mouse to click targets on screen that fluctuates over time due to conditions like early-stage Parkinson's disease, age-related…

  adaptive user interface · motor impairment · pointing · assistive technology · web navigation

• Crowdsourcing Subjective Fashion Advice Using VizWiz: Challenges and Opportunities

  Michele A. Burton, Erin Brady, Robin Brewer, Callie Neylan, Jeffrey P. Bigham, Amy Hurst · 2012 · ASSETS '12: Proceedings of the 14th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper investigates the accessibility barriers that fashion and clothing present to people with vision impairments, and explores whether crowdsourcing through VizWiz can provide useful subjective fashion advice. The research is grounded in the recognition that fashion is a…

  blind users · crowdsourcing · fashion accessibility · VizWiz · subjective questions

10 results.